%0 Journal Article
%T Multi-spectral Remote Sensing Image Registration Based on Feature Point<br>基于特征点的多光谱遥感图像配准
%A XU Li-yan
%A WANG Jing
%A QIU Jun
%A SUN Quan-sen
%A XIA De-shen
%A <br>徐丽燕
%A 王静
%A 邱军
%A 孙权森
%A 夏德深
%J 计算机科学
%D 2011
%I 
%X A registration method for multi-spectral remote sensing image based on feature points was proposed. First,a two-degree regular mesh was formed on the image, and feature grids were chosen according to entropy and uniformity principle. Then feature points were detected by Forstner operate in feature grids. Due to the characteristic of multi spectral images, the course matching step was achieved by Cross-Correlation theory, and improved space distance constraint was used in fine matching step. Finally, registered image was obtained by affine transformation. RMSE was applied to evaluate the method. The experimental results clearly indicate that the approach we proposed is efficient with sub-pixel precision.
%K Remote sensing images
%K Fcature grid
%K Forstner
%K Course matching
%K Fine matching<br>遥感图像，特征网格，Forstner，粗匹配，精匹配
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A02D22894B67471438A5CBE0AB02791D&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=DF92D298D3FF1E6E&sid=5D8C08279A19B0D4&eid=AAD25E79E451490A&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=12